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    ICML
    2006
    IEEE
    161views Machine Learning» more  ICML 2006»
    Bayesian regression with input noise for high dimensional data
    14 years 5 months ago
    Bayesian regression with input noise for high dimensional data
    Download  www-clmc.usc.edu
    This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
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    DAC
    2005
    ACM
    161views Computer Architecture» more  DAC 2005»
    A non-parametric approach for dynamic range estimation of nonlinear systems
    14 years 5 months ago
    A non-parametric approach for dynamic range estimation of nonlinear systems
    Download  www.eecg.toronto.edu
    It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
    Bin Wu, Jianwen Zhu, Farid N. Najm
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    ITIIS
    2010
    138views more  ITIIS 2010»
    Identification of Fuzzy Inference System Based on Information Granulation
    12 years 11 months ago
    Identification of Fuzzy Inference System Based on Information Granulation
    Download  www.itiis.org
    In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
    Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
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    TSMC
    2008
    137views more  TSMC 2008»
    A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
    13 years 4 months ago
    A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
    Download  ir.itri.org.tw
    This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
    Chia-Feng Juang, Yu-Wei Tsao
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    ICML
    2000
    IEEE
    172views Machine Learning» more  ICML 2000»
    On-line Learning for Humanoid Robot Systems
    14 years 5 months ago
    On-line Learning for Humanoid Robot Systems
    Download  www-clmc.usc.edu
    Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
    Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
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